Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T116A20A7663442F3E5513C3A8FB60F228920DD19ED339D568E6BD173211CBEA4E933698 |
|
CONTENT
ssdeep
|
384:5GUCuSiYhyvkYhnY5yPAYAnjhh4oQjhPo6sfYh8YAu2NjaNcFK:wUCuSiYhyMYhnY5yYYAnjhh4oQ9P4Yhr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e52893cb4daa9a69 |
|
VISUAL
aHash
|
f9c28290f0fffffe |
|
VISUAL
dHash
|
2b063626820e0c0a |
|
VISUAL
wHash
|
f9808080c0ffe7fe |
|
VISUAL
colorHash
|
07480000400 |
|
VISUAL
cropResistant
|
2b063626820e0c0a |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 14 techniques to evade detection by security scanners and make reverse engineering more difficult.